基于最优FRWT的非平稳信号去噪新方法 |
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引用本文: | 黄雨青,王友仁,罗慧.基于最优FRWT的非平稳信号去噪新方法[J].佳木斯工学院学报,2011(2):177-180. |
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作者姓名: | 黄雨青 王友仁 罗慧 |
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作者单位: | 南京航空航天大学自动化学院,江苏南京210016 |
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基金项目: | 江苏省研究生科研创新计划项目(CX10B098Z) |
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摘 要: | 研究非平稳信号的去噪,提出一种基于最优分数阶小波变换(FRWT)的信号去噪方法.该方法根据输出信号信噪比采用遗传算法寻找FRWT的最优分数阶值,实现非平稳信号的去噪.以带噪语音信号为例的去噪实验结果表明,采用新方法的去噪效果明显提高.
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关 键 词: | 时频分析 分数阶小波变换 小波变换 分数阶Fourier变换 信号去噪 |
A New Signal De-noising Method Based on Fractional Wavelet Packet Transform in Time-frequency Domain |
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Authors: | HUANG Yu-qing WANG You-ren LUO Hui |
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Affiliation: | (College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China) |
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Abstract: | A novel signal de-noising method based on fractional wavelet transform(FRWT) was proposed.The optimal fractional order of FRWT was obtained by a genetic algorithm according to the SNR of output signals.And the signal was de-noised by an optimal FRWT.De-noising results of noisy speech signal showed that the de-noising effect can be improved effectively. |
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Keywords: | time-frequency analysis fractional wavelet transform wavelet transform fractional Fourier transform signal de-noising |
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